Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 827 |
| Missing cells | 834 |
| Missing cells (%) | 5.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 129.3 KiB |
| Average record size in memory | 160.2 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 9 |
trestbps is highly correlated with trestbpd | High correlation |
met is highly correlated with df_index and 2 other fields | High correlation |
thalach is highly correlated with met | High correlation |
trestbpd is highly correlated with trestbps and 1 other fields | High correlation |
oldpeak is highly correlated with exang and 1 other fields | High correlation |
num is highly correlated with oldpeak | High correlation |
df_index is highly correlated with restecg and 2 other fields | High correlation |
cp is highly correlated with exang | High correlation |
restecg is highly correlated with df_index | High correlation |
tpeakbpd is highly correlated with trestbpd | High correlation |
exang is highly correlated with cp and 1 other fields | High correlation |
dataset is highly correlated with df_index and 1 other fields | High correlation |
trestbps has 60 (7.3%) missing values | Missing |
htn has 33 (4.0%) missing values | Missing |
fbs has 66 (8.0%) missing values | Missing |
pro has 65 (7.9%) missing values | Missing |
met has 107 (12.9%) missing values | Missing |
thalach has 57 (6.9%) missing values | Missing |
thalrest has 58 (7.0%) missing values | Missing |
tpeakbps has 64 (7.7%) missing values | Missing |
tpeakbpd has 64 (7.7%) missing values | Missing |
trestbpd has 60 (7.3%) missing values | Missing |
exang has 57 (6.9%) missing values | Missing |
oldpeak has 60 (7.3%) missing values | Missing |
rldv5e has 71 (8.6%) missing values | Missing |
df_index has unique values | Unique |
oldpeak has 322 (38.9%) zeros | Zeros |
Reproduction
| Analysis started | 2022-10-17 20:35:48.484081 |
|---|---|
| Analysis finished | 2022-10-17 20:35:58.114598 |
| Duration | 9.63 seconds |
| Software version | pandas-profiling v3.3.0 |
| Download configuration | config.json |
| Distinct | 827 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 430.9226119 |
| Minimum | 0 |
|---|---|
| Maximum | 900 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 41.3 |
| Q1 | 206.5 |
| median | 413 |
| Q3 | 620.5 |
| 95-th percentile | 858.7 |
| Maximum | 900 |
| Range | 900 |
| Interquartile range (IQR) | 414 |
Descriptive statistics
| Standard deviation | 263.2545032 |
|---|---|
| Coefficient of variation (CV) | 0.6109090031 |
| Kurtosis | -1.150818063 |
| Mean | 430.9226119 |
| Median Absolute Deviation (MAD) | 207 |
| Skewness | 0.1687656497 |
| Sum | 356373 |
| Variance | 69302.93347 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | 0.1% |
| 555 | 1 | 0.1% |
| 545 | 1 | 0.1% |
| 546 | 1 | 0.1% |
| 547 | 1 | 0.1% |
| 548 | 1 | 0.1% |
| 549 | 1 | 0.1% |
| 550 | 1 | 0.1% |
| 551 | 1 | 0.1% |
| 552 | 1 | 0.1% |
| Other values (817) | 817 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 900 | 1 | |
| 899 | 1 | |
| 898 | 1 | |
| 897 | 1 | |
| 896 | 1 | |
| 895 | 1 | |
| 894 | 1 | |
| 893 | 1 | |
| 892 | 1 | |
| 891 | 1 |
age
Real number (ℝ≥0)
| Distinct | 49 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 2 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 53.30181818 |
| Minimum | 28 |
|---|---|
| Maximum | 77 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 28 |
|---|---|
| 5-th percentile | 37 |
| Q1 | 47 |
| median | 54 |
| Q3 | 60 |
| 95-th percentile | 68 |
| Maximum | 77 |
| Range | 49 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.489509235 |
|---|---|
| Coefficient of variation (CV) | 0.1780334998 |
| Kurtosis | -0.3877835298 |
| Mean | 53.30181818 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | -0.1563824897 |
| Sum | 43974 |
| Variance | 90.05078553 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 54 | 48 | 5.8% |
| 58 | 38 | 4.6% |
| 55 | 36 | 4.4% |
| 52 | 33 | 4.0% |
| 57 | 32 | 3.9% |
| 51 | 32 | 3.9% |
| 59 | 31 | 3.7% |
| 62 | 31 | 3.7% |
| 56 | 30 | 3.6% |
| 48 | 30 | 3.6% |
| Other values (39) | 484 |
| Value | Count | Frequency (%) |
| 28 | 1 | 0.1% |
| 29 | 3 | 0.4% |
| 30 | 1 | 0.1% |
| 31 | 2 | 0.2% |
| 32 | 5 | |
| 33 | 2 | 0.2% |
| 34 | 7 | |
| 35 | 9 | |
| 36 | 5 | |
| 37 | 11 |
| Value | Count | Frequency (%) |
| 77 | 2 | 0.2% |
| 76 | 2 | 0.2% |
| 75 | 3 | 0.4% |
| 74 | 7 | |
| 72 | 4 | 0.5% |
| 71 | 5 | 0.6% |
| 70 | 5 | 0.6% |
| 69 | 12 | |
| 68 | 8 | |
| 67 | 13 |
sex
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 2 |
| Missing (%) | 0.2% |
| Memory size | 6.6 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2475 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 643 | |
| 0.0 | 182 | 22.0% |
| (Missing) | 2 | 0.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 643 | |
| 0.0 | 182 | 22.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| . | 825 | |
| 1 | 643 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1650 | |
| Other Punctuation | 825 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| 1 | 643 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 825 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2475 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| . | 825 | |
| 1 | 643 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2475 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| . | 825 | |
| 1 | 643 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 2 |
| Missing (%) | 0.2% |
| Memory size | 6.6 KiB |
| 4.0 | |
|---|---|
| 3.0 | |
| 2.0 | |
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2475 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2.0 |
|---|---|
| 2nd row | 3.0 |
| 3rd row | 2.0 |
| 4th row | 4.0 |
| 5th row | 3.0 |
Common Values
| Value | Count | Frequency (%) |
| 4.0 | 426 | |
| 3.0 | 190 | |
| 2.0 | 166 | 20.1% |
| 1.0 | 43 | 5.2% |
| (Missing) | 2 | 0.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 4.0 | 426 | |
| 3.0 | 190 | |
| 2.0 | 166 | 20.1% |
| 1.0 | 43 | 5.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 825 | |
| 0 | 825 | |
| 4 | 426 | |
| 3 | 190 | 7.7% |
| 2 | 166 | 6.7% |
| 1 | 43 | 1.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1650 | |
| Other Punctuation | 825 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 825 | |
| 4 | 426 | |
| 3 | 190 | 11.5% |
| 2 | 166 | 10.1% |
| 1 | 43 | 2.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 825 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2475 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 825 | |
| 0 | 825 | |
| 4 | 426 | |
| 3 | 190 | 7.7% |
| 2 | 166 | 6.7% |
| 1 | 43 | 1.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2475 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 825 | |
| 0 | 825 | |
| 4 | 426 | |
| 3 | 190 | 7.7% |
| 2 | 166 | 6.7% |
| 1 | 43 | 1.7% |
| Distinct | 58 |
|---|---|
| Distinct (%) | 7.6% |
| Missing | 60 |
| Missing (%) | 7.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 131.7014342 |
| Minimum | 80 |
|---|---|
| Maximum | 200 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 80 |
|---|---|
| 5-th percentile | 105 |
| Q1 | 120 |
| median | 130 |
| Q3 | 140 |
| 95-th percentile | 160 |
| Maximum | 200 |
| Range | 120 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 18.25102838 |
|---|---|
| Coefficient of variation (CV) | 0.1385788128 |
| Kurtosis | 0.5614984919 |
| Mean | 131.7014342 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.5820909421 |
| Sum | 101015 |
| Variance | 333.1000371 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 120 | 118 | |
| 130 | 106 | |
| 140 | 93 | 11.2% |
| 110 | 54 | 6.5% |
| 150 | 50 | 6.0% |
| 160 | 41 | 5.0% |
| 125 | 25 | 3.0% |
| 128 | 16 | 1.9% |
| 100 | 15 | 1.8% |
| 138 | 14 | 1.7% |
| Other values (48) | 235 | |
| (Missing) | 60 | 7.3% |
| Value | Count | Frequency (%) |
| 80 | 1 | 0.1% |
| 92 | 1 | 0.1% |
| 94 | 2 | 0.2% |
| 95 | 6 | 0.7% |
| 96 | 1 | 0.1% |
| 98 | 1 | 0.1% |
| 100 | 15 | |
| 101 | 1 | 0.1% |
| 102 | 3 | 0.4% |
| 104 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 200 | 2 | 0.2% |
| 192 | 1 | 0.1% |
| 190 | 2 | 0.2% |
| 180 | 11 | 1.3% |
| 178 | 3 | 0.4% |
| 174 | 1 | 0.1% |
| 172 | 2 | 0.2% |
| 170 | 12 | 1.5% |
| 165 | 1 | 0.1% |
| 160 | 41 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 33 |
| Missing (%) | 4.0% |
| Memory size | 6.6 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2382 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 401 | |
| 1.0 | 393 | |
| (Missing) | 33 | 4.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.0 | 401 | |
| 1.0 | 393 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1195 | |
| . | 794 | |
| 1 | 393 | 16.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1588 | |
| Other Punctuation | 794 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1195 | |
| 1 | 393 | 24.7% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 794 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2382 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1195 | |
| . | 794 | |
| 1 | 393 | 16.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2382 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1195 | |
| . | 794 | |
| 1 | 393 | 16.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 66 |
| Missing (%) | 8.0% |
| Memory size | 6.6 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2283 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 631 | |
| 1.0 | 130 | 15.7% |
| (Missing) | 66 | 8.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.0 | 631 | |
| 1.0 | 130 | 17.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1392 | |
| . | 761 | |
| 1 | 130 | 5.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1522 | |
| Other Punctuation | 761 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1392 | |
| 1 | 130 | 8.5% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 761 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2283 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1392 | |
| . | 761 | |
| 1 | 130 | 5.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2283 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1392 | |
| . | 761 | |
| 1 | 130 | 5.7% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 4 |
| Missing (%) | 0.5% |
| Memory size | 6.6 KiB |
| 0.0 | |
|---|---|
| 2.0 | |
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2469 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 486 | |
| 2.0 | 178 | 21.5% |
| 1.0 | 159 | 19.2% |
| (Missing) | 4 | 0.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.0 | 486 | |
| 2.0 | 178 | 21.6% |
| 1.0 | 159 | 19.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1309 | |
| . | 823 | |
| 2 | 178 | 7.2% |
| 1 | 159 | 6.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1646 | |
| Other Punctuation | 823 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1309 | |
| 2 | 178 | 10.8% |
| 1 | 159 | 9.7% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 823 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2469 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1309 | |
| . | 823 | |
| 2 | 178 | 7.2% |
| 1 | 159 | 6.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2469 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1309 | |
| . | 823 | |
| 2 | 178 | 7.2% |
| 1 | 159 | 6.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 65 |
| Missing (%) | 7.9% |
| Memory size | 6.6 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2286 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 647 | |
| 1.0 | 115 | 13.9% |
| (Missing) | 65 | 7.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.0 | 647 | |
| 1.0 | 115 | 15.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1409 | |
| . | 762 | |
| 1 | 115 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1524 | |
| Other Punctuation | 762 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1409 | |
| 1 | 115 | 7.5% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 762 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2286 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1409 | |
| . | 762 | |
| 1 | 115 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2286 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1409 | |
| . | 762 | |
| 1 | 115 | 5.0% |
| Distinct | 28 |
|---|---|
| Distinct (%) | 3.9% |
| Missing | 107 |
| Missing (%) | 12.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.3675 |
| Minimum | 2 |
|---|---|
| Maximum | 18 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 5 |
| median | 7 |
| Q3 | 9 |
| 95-th percentile | 13 |
| Maximum | 18 |
| Range | 16 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 3.097255167 |
|---|---|
| Coefficient of variation (CV) | 0.4203943219 |
| Kurtosis | 0.2787169346 |
| Mean | 7.3675 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.7197781468 |
| Sum | 5304.6 |
| Variance | 9.592989569 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 7 | 107 | |
| 5 | 106 | |
| 6 | 102 | |
| 9 | 71 | |
| 10 | 58 | |
| 4 | 54 | |
| 8 | 51 | |
| 3 | 31 | 3.7% |
| 13 | 27 | 3.3% |
| 12 | 23 | 2.8% |
| Other values (18) | 90 | |
| (Missing) | 107 |
| Value | Count | Frequency (%) |
| 2 | 22 | 2.7% |
| 2.5 | 1 | 0.1% |
| 3 | 31 | 3.7% |
| 3.5 | 1 | 0.1% |
| 4 | 54 | |
| 4.5 | 1 | 0.1% |
| 5 | 106 | |
| 5.4 | 1 | 0.1% |
| 5.8 | 1 | 0.1% |
| 6 | 102 |
| Value | Count | Frequency (%) |
| 18 | 2 | 0.2% |
| 17 | 2 | 0.2% |
| 16 | 7 | 0.8% |
| 15 | 3 | 0.4% |
| 14 | 20 | 2.4% |
| 13 | 27 | 3.3% |
| 12 | 23 | 2.8% |
| 11 | 19 | 2.3% |
| 10 | 58 | |
| 9 | 71 |
| Distinct | 111 |
|---|---|
| Distinct (%) | 14.4% |
| Missing | 57 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 139.5376623 |
| Minimum | 69 |
|---|---|
| Maximum | 202 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 69 |
|---|---|
| 5-th percentile | 98 |
| Q1 | 120 |
| median | 140 |
| Q3 | 159.75 |
| 95-th percentile | 179 |
| Maximum | 202 |
| Range | 133 |
| Interquartile range (IQR) | 39.75 |
Descriptive statistics
| Standard deviation | 25.01259521 |
|---|---|
| Coefficient of variation (CV) | 0.1792533628 |
| Kurtosis | -0.5570110255 |
| Mean | 139.5376623 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | -0.1806678604 |
| Sum | 107444 |
| Variance | 625.6299191 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 150 | 40 | 4.8% |
| 140 | 38 | 4.6% |
| 120 | 28 | 3.4% |
| 130 | 27 | 3.3% |
| 160 | 26 | 3.1% |
| 170 | 20 | 2.4% |
| 110 | 19 | 2.3% |
| 125 | 18 | 2.2% |
| 142 | 14 | 1.7% |
| 162 | 13 | 1.6% |
| Other values (101) | 527 | |
| (Missing) | 57 | 6.9% |
| Value | Count | Frequency (%) |
| 69 | 1 | 0.1% |
| 71 | 1 | 0.1% |
| 73 | 1 | 0.1% |
| 77 | 1 | 0.1% |
| 80 | 2 | |
| 82 | 3 | |
| 84 | 3 | |
| 86 | 3 | |
| 87 | 1 | 0.1% |
| 88 | 2 |
| Value | Count | Frequency (%) |
| 202 | 1 | 0.1% |
| 195 | 1 | 0.1% |
| 194 | 1 | 0.1% |
| 192 | 1 | 0.1% |
| 190 | 2 | |
| 188 | 2 | |
| 187 | 1 | 0.1% |
| 186 | 2 | |
| 185 | 4 | |
| 184 | 4 |
| Distinct | 73 |
|---|---|
| Distinct (%) | 9.5% |
| Missing | 58 |
| Missing (%) | 7.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 76.18335501 |
| Minimum | 37 |
|---|---|
| Maximum | 139 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 37 |
|---|---|
| 5-th percentile | 56 |
| Q1 | 66 |
| median | 74 |
| Q3 | 85 |
| 95-th percentile | 100 |
| Maximum | 139 |
| Range | 102 |
| Interquartile range (IQR) | 19 |
Descriptive statistics
| Standard deviation | 14.62398265 |
|---|---|
| Coefficient of variation (CV) | 0.1919577137 |
| Kurtosis | 0.7982786077 |
| Mean | 76.18335501 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.6582926207 |
| Sum | 58585 |
| Variance | 213.8608684 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 70 | 36 | 4.4% |
| 80 | 30 | 3.6% |
| 74 | 30 | 3.6% |
| 68 | 27 | 3.3% |
| 75 | 26 | 3.1% |
| 84 | 25 | 3.0% |
| 73 | 24 | 2.9% |
| 64 | 23 | 2.8% |
| 78 | 23 | 2.8% |
| 72 | 22 | 2.7% |
| Other values (63) | 503 | |
| (Missing) | 58 | 7.0% |
| Value | Count | Frequency (%) |
| 37 | 1 | 0.1% |
| 40 | 1 | 0.1% |
| 43 | 1 | 0.1% |
| 46 | 1 | 0.1% |
| 47 | 1 | 0.1% |
| 49 | 4 | |
| 50 | 2 | 0.2% |
| 51 | 1 | 0.1% |
| 52 | 8 | |
| 53 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 139 | 1 | 0.1% |
| 134 | 1 | 0.1% |
| 125 | 3 | |
| 124 | 1 | 0.1% |
| 120 | 3 | |
| 119 | 1 | 0.1% |
| 116 | 1 | 0.1% |
| 115 | 2 | 0.2% |
| 112 | 2 | 0.2% |
| 110 | 5 |
| Distinct | 73 |
|---|---|
| Distinct (%) | 9.6% |
| Missing | 64 |
| Missing (%) | 7.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 172.2961992 |
| Minimum | 84 |
|---|---|
| Maximum | 240 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 84 |
|---|---|
| 5-th percentile | 130 |
| Q1 | 156 |
| median | 170 |
| Q3 | 190 |
| 95-th percentile | 220 |
| Maximum | 240 |
| Range | 156 |
| Interquartile range (IQR) | 34 |
Descriptive statistics
| Standard deviation | 25.76185758 |
|---|---|
| Coefficient of variation (CV) | 0.1495207538 |
| Kurtosis | 0.1998375257 |
| Mean | 172.2961992 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | 0.0428102665 |
| Sum | 131462 |
| Variance | 663.6733057 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 180 | 87 | 10.5% |
| 160 | 82 | 9.9% |
| 170 | 74 | 8.9% |
| 190 | 60 | 7.3% |
| 200 | 54 | 6.5% |
| 150 | 43 | 5.2% |
| 140 | 34 | 4.1% |
| 220 | 23 | 2.8% |
| 210 | 21 | 2.5% |
| 165 | 17 | 2.1% |
| Other values (63) | 268 | |
| (Missing) | 64 | 7.7% |
| Value | Count | Frequency (%) |
| 84 | 1 | 0.1% |
| 90 | 1 | 0.1% |
| 92 | 1 | 0.1% |
| 98 | 2 | 0.2% |
| 100 | 1 | 0.1% |
| 110 | 3 | |
| 112 | 1 | 0.1% |
| 116 | 1 | 0.1% |
| 120 | 6 | |
| 124 | 3 |
| Value | Count | Frequency (%) |
| 240 | 5 | 0.6% |
| 235 | 1 | 0.1% |
| 232 | 1 | 0.1% |
| 230 | 14 | |
| 228 | 1 | 0.1% |
| 224 | 1 | 0.1% |
| 220 | 23 | |
| 216 | 1 | 0.1% |
| 215 | 3 | 0.4% |
| 210 | 21 |
| Distinct | 51 |
|---|---|
| Distinct (%) | 6.7% |
| Missing | 64 |
| Missing (%) | 7.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 87.42070773 |
| Minimum | 11 |
|---|---|
| Maximum | 134 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 64 |
| Q1 | 80 |
| median | 90 |
| Q3 | 100 |
| 95-th percentile | 110 |
| Maximum | 134 |
| Range | 123 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 15.05719423 |
|---|---|
| Coefficient of variation (CV) | 0.1722383017 |
| Kurtosis | 0.8726135898 |
| Mean | 87.42070773 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | -0.1655087739 |
| Sum | 66702 |
| Variance | 226.7190982 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 80 | 136 | |
| 90 | 120 | |
| 100 | 108 | |
| 70 | 52 | 6.3% |
| 110 | 40 | 4.8% |
| 95 | 24 | 2.9% |
| 75 | 23 | 2.8% |
| 60 | 22 | 2.7% |
| 78 | 22 | 2.7% |
| 84 | 16 | 1.9% |
| Other values (41) | 200 | |
| (Missing) | 64 | 7.7% |
| Value | Count | Frequency (%) |
| 11 | 1 | 0.1% |
| 26 | 1 | 0.1% |
| 40 | 2 | 0.2% |
| 45 | 1 | 0.1% |
| 50 | 2 | 0.2% |
| 55 | 1 | 0.1% |
| 56 | 2 | 0.2% |
| 58 | 3 | 0.4% |
| 60 | 22 | |
| 62 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 134 | 1 | 0.1% |
| 130 | 2 | 0.2% |
| 120 | 15 | 1.8% |
| 118 | 4 | 0.5% |
| 116 | 2 | 0.2% |
| 115 | 7 | 0.8% |
| 114 | 2 | 0.2% |
| 112 | 1 | 0.1% |
| 110 | 40 | |
| 108 | 2 | 0.2% |
| Distinct | 32 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 60 |
| Missing (%) | 7.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 83.54628422 |
| Minimum | 50 |
|---|---|
| Maximum | 110 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 50 |
|---|---|
| 5-th percentile | 70 |
| Q1 | 80 |
| median | 80 |
| Q3 | 90 |
| 95-th percentile | 100 |
| Maximum | 110 |
| Range | 60 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 9.639460546 |
|---|---|
| Coefficient of variation (CV) | 0.1153786866 |
| Kurtosis | -0.001920627627 |
| Mean | 83.54628422 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | -0.004938102035 |
| Sum | 64080 |
| Variance | 92.91919962 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=32)
| Value | Count | Frequency (%) |
| 80 | 241 | |
| 90 | 148 | |
| 70 | 82 | 9.9% |
| 100 | 59 | 7.1% |
| 85 | 27 | 3.3% |
| 78 | 24 | 2.9% |
| 95 | 21 | 2.5% |
| 82 | 15 | 1.8% |
| 84 | 14 | 1.7% |
| 75 | 14 | 1.7% |
| Other values (22) | 122 | |
| (Missing) | 60 | 7.3% |
| Value | Count | Frequency (%) |
| 50 | 2 | 0.2% |
| 58 | 1 | 0.1% |
| 60 | 10 | 1.2% |
| 64 | 4 | 0.5% |
| 65 | 4 | 0.5% |
| 66 | 1 | 0.1% |
| 68 | 4 | 0.5% |
| 70 | 82 | |
| 72 | 8 | 1.0% |
| 74 | 9 | 1.1% |
| Value | Count | Frequency (%) |
| 110 | 4 | 0.5% |
| 106 | 2 | 0.2% |
| 105 | 3 | 0.4% |
| 104 | 1 | 0.1% |
| 102 | 1 | 0.1% |
| 100 | 59 | |
| 98 | 12 | 1.5% |
| 96 | 7 | 0.8% |
| 95 | 21 | 2.5% |
| 94 | 12 | 1.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 57 |
| Missing (%) | 6.9% |
| Memory size | 6.6 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2310 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 481 | |
| 1.0 | 289 | |
| (Missing) | 57 | 6.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.0 | 481 | |
| 1.0 | 289 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1251 | |
| . | 770 | |
| 1 | 289 | 12.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1540 | |
| Other Punctuation | 770 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1251 | |
| 1 | 289 | 18.8% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 770 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2310 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1251 | |
| . | 770 | |
| 1 | 289 | 12.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2310 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1251 | |
| . | 770 | |
| 1 | 289 | 12.5% |
| Distinct | 51 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 60 |
| Missing (%) | 7.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.9065189048 |
| Minimum | -2.6 |
|---|---|
| Maximum | 6.2 |
| Zeros | 322 |
| Zeros (%) | 38.9% |
| Negative | 9 |
| Negative (%) | 1.1% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | -2.6 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.6 |
| Q3 | 1.6 |
| 95-th percentile | 3 |
| Maximum | 6.2 |
| Range | 8.8 |
| Interquartile range (IQR) | 1.6 |
Descriptive statistics
| Standard deviation | 1.091713032 |
|---|---|
| Coefficient of variation (CV) | 1.204291522 |
| Kurtosis | 1.072110363 |
| Mean | 0.9065189048 |
| Median Absolute Deviation (MAD) | 0.6 |
| Skewness | 1.024891266 |
| Sum | 695.3 |
| Variance | 1.191837344 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 322 | |
| 1 | 73 | 8.8% |
| 2 | 66 | 8.0% |
| 1.5 | 45 | 5.4% |
| 3 | 27 | 3.3% |
| 2.5 | 16 | 1.9% |
| 1.4 | 15 | 1.8% |
| 0.5 | 15 | 1.8% |
| 1.6 | 14 | 1.7% |
| 0.6 | 14 | 1.7% |
| Other values (41) | 160 | |
| (Missing) | 60 | 7.3% |
| Value | Count | Frequency (%) |
| -2.6 | 1 | 0.1% |
| -1.5 | 1 | 0.1% |
| -1.1 | 1 | 0.1% |
| -1 | 1 | 0.1% |
| -0.9 | 1 | 0.1% |
| -0.8 | 1 | 0.1% |
| -0.7 | 1 | 0.1% |
| -0.5 | 1 | 0.1% |
| -0.1 | 1 | 0.1% |
| 0 | 322 |
| Value | Count | Frequency (%) |
| 6.2 | 1 | 0.1% |
| 5.6 | 1 | 0.1% |
| 5 | 1 | 0.1% |
| 4.2 | 2 | 0.2% |
| 4 | 7 | |
| 3.8 | 1 | 0.1% |
| 3.7 | 1 | 0.1% |
| 3.6 | 4 | |
| 3.5 | 2 | 0.2% |
| 3.4 | 2 | 0.2% |
| Distinct | 121 |
|---|---|
| Distinct (%) | 16.0% |
| Missing | 71 |
| Missing (%) | 8.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.475 |
| Minimum | 2 |
|---|---|
| Maximum | 36 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 5.875 |
| Q1 | 9.775 |
| median | 13 |
| Q3 | 17 |
| 95-th percentile | 23 |
| Maximum | 36 |
| Range | 34 |
| Interquartile range (IQR) | 7.225 |
Descriptive statistics
| Standard deviation | 5.408822508 |
|---|---|
| Coefficient of variation (CV) | 0.4013968466 |
| Kurtosis | 0.1574806757 |
| Mean | 13.475 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.5151015957 |
| Sum | 10187.1 |
| Variance | 29.25536093 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11 | 49 | 5.9% |
| 20 | 46 | 5.6% |
| 10 | 41 | 5.0% |
| 15 | 40 | 4.8% |
| 13 | 37 | 4.5% |
| 12 | 35 | 4.2% |
| 9 | 35 | 4.2% |
| 17 | 34 | 4.1% |
| 14 | 29 | 3.5% |
| 18 | 29 | 3.5% |
| Other values (111) | 381 | |
| (Missing) | 71 | 8.6% |
| Value | Count | Frequency (%) |
| 2 | 1 | 0.1% |
| 2.4 | 3 | 0.4% |
| 2.8 | 1 | 0.1% |
| 3 | 4 | |
| 3.5 | 1 | 0.1% |
| 4 | 9 | |
| 4.1 | 1 | 0.1% |
| 4.5 | 1 | 0.1% |
| 4.7 | 1 | 0.1% |
| 4.8 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 36 | 1 | 0.1% |
| 30 | 3 | 0.4% |
| 29 | 2 | 0.2% |
| 28 | 2 | 0.2% |
| 27 | 5 | |
| 26 | 4 | |
| 25.3 | 1 | 0.1% |
| 25.2 | 1 | 0.1% |
| 25 | 8 | |
| 24 | 7 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 2 |
| Missing (%) | 0.2% |
| Memory size | 6.6 KiB |
| 0.0 | |
|---|---|
| 1.0 | |
| 2.0 | |
| 3.0 | |
| 4.0 | 39 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2475 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 3.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 403 | |
| 1.0 | 168 | |
| 2.0 | 108 | 13.1% |
| 3.0 | 107 | 12.9% |
| 4.0 | 39 | 4.7% |
| (Missing) | 2 | 0.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.0 | 403 | |
| 1.0 | 168 | |
| 2.0 | 108 | 13.1% |
| 3.0 | 107 | 13.0% |
| 4.0 | 39 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| . | 825 | |
| 1 | 168 | 6.8% |
| 2 | 108 | 4.4% |
| 3 | 107 | 4.3% |
| 4 | 39 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1650 | |
| Other Punctuation | 825 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| 1 | 168 | 10.2% |
| 2 | 108 | 6.5% |
| 3 | 107 | 6.5% |
| 4 | 39 | 2.4% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 825 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2475 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| . | 825 | |
| 1 | 168 | 6.8% |
| 2 | 108 | 4.4% |
| 3 | 107 | 4.3% |
| 4 | 39 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2475 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1228 | |
| . | 825 | |
| 1 | 168 | 6.8% |
| 2 | 108 | 4.4% |
| 3 | 107 | 4.3% |
| 4 | 39 | 1.6% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.6 KiB |
| hungarian | |
|---|---|
| cleveland | |
| long-beach-va | |
| switzerland |
Length
| Max length | 13 |
|---|---|
| Median length | 9 |
| Mean length | 10.08827086 |
| Min length | 9 |
Characters and Unicode
| Total characters | 8343 |
|---|---|
| Distinct characters | 19 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | hungarian |
|---|---|
| 2nd row | hungarian |
| 3rd row | hungarian |
| 4th row | hungarian |
| 5th row | hungarian |
Common Values
| Value | Count | Frequency (%) |
| hungarian | 295 | |
| cleveland | 282 | |
| long-beach-va | 200 | |
| switzerland | 50 | 6.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| hungarian | 295 | |
| cleveland | 282 | |
| long-beach-va | 200 | |
| switzerland | 50 | 6.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1322 | |
| n | 1122 | |
| e | 814 | |
| l | 814 | |
| h | 495 | 5.9% |
| g | 495 | 5.9% |
| c | 482 | 5.8% |
| v | 482 | 5.8% |
| - | 400 | 4.8% |
| r | 345 | 4.1% |
| Other values (9) | 1572 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 7943 | |
| Dash Punctuation | 400 | 4.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1322 | |
| n | 1122 | |
| e | 814 | |
| l | 814 | |
| h | 495 | 6.2% |
| g | 495 | 6.2% |
| c | 482 | 6.1% |
| v | 482 | 6.1% |
| r | 345 | 4.3% |
| i | 345 | 4.3% |
| Other values (8) | 1227 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 400 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7943 | |
| Common | 400 | 4.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1322 | |
| n | 1122 | |
| e | 814 | |
| l | 814 | |
| h | 495 | 6.2% |
| g | 495 | 6.2% |
| c | 482 | 6.1% |
| v | 482 | 6.1% |
| r | 345 | 4.3% |
| i | 345 | 4.3% |
| Other values (8) | 1227 |
Common
| Value | Count | Frequency (%) |
| - | 400 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8343 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1322 | |
| n | 1122 | |
| e | 814 | |
| l | 814 | |
| h | 495 | 5.9% |
| g | 495 | 5.9% |
| c | 482 | 5.8% |
| v | 482 | 5.8% |
| - | 400 | 4.8% |
| r | 345 | 4.1% |
| Other values (9) | 1572 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| df_index | age | sex | cp | trestbps | htn | fbs | restecg | pro | met | thalach | thalrest | tpeakbps | tpeakbpd | trestbpd | exang | oldpeak | rldv5e | num | dataset | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 40.0 | 1.0 | 2.0 | 140.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 172.0 | 86.0 | 200.0 | 110.0 | 86.0 | 0.0 | 0.0 | 20.0 | 0.0 | hungarian |
| 1 | 1 | 49.0 | 0.0 | 3.0 | 160.0 | 1.0 | 0.0 | 0.0 | 0.0 | 7.0 | 156.0 | 100.0 | 220.0 | 106.0 | 90.0 | 0.0 | 1.0 | 13.0 | 1.0 | hungarian |
| 2 | 2 | 37.0 | 1.0 | 2.0 | 130.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | 98.0 | 58.0 | 180.0 | 100.0 | 80.0 | 0.0 | 0.0 | 14.0 | 0.0 | hungarian |
| 3 | 3 | 48.0 | 0.0 | 4.0 | 138.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 108.0 | 54.0 | 210.0 | 106.0 | 86.0 | 1.0 | 1.5 | 22.0 | 3.0 | hungarian |
| 4 | 4 | 54.0 | 1.0 | 3.0 | 150.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | 122.0 | 74.0 | 130.0 | 100.0 | 90.0 | 0.0 | 0.0 | 9.0 | 0.0 | hungarian |
| 5 | 5 | 39.0 | 1.0 | 3.0 | 120.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 170.0 | 86.0 | 198.0 | 100.0 | 80.0 | 0.0 | 0.0 | 21.0 | 0.0 | hungarian |
| 6 | 6 | 45.0 | 0.0 | 2.0 | 130.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 170.0 | 90.0 | 200.0 | 106.0 | 84.0 | 0.0 | 0.0 | 11.0 | 0.0 | hungarian |
| 7 | 7 | 54.0 | 1.0 | 2.0 | 110.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 142.0 | 56.0 | 220.0 | 70.0 | 70.0 | 0.0 | 0.0 | 11.0 | 0.0 | hungarian |
| 8 | 8 | 37.0 | 1.0 | 4.0 | 140.0 | 1.0 | 0.0 | 0.0 | 0.0 | 7.0 | 130.0 | 63.0 | 190.0 | 100.0 | 80.0 | 1.0 | 1.5 | 19.0 | 1.0 | hungarian |
| 9 | 9 | 48.0 | 0.0 | 2.0 | 120.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 120.0 | 72.0 | 140.0 | 80.0 | 80.0 | 0.0 | 0.0 | 6.0 | 0.0 | hungarian |
Last rows
| df_index | age | sex | cp | trestbps | htn | fbs | restecg | pro | met | thalach | thalrest | tpeakbps | tpeakbpd | trestbpd | exang | oldpeak | rldv5e | num | dataset | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 817 | 891 | 62.0 | 1.0 | 4.0 | 160.0 | 1.0 | 1.0 | 1.0 | 1.0 | 2.5 | 108.0 | 69.0 | 160.0 | 90.0 | 80.0 | 1.0 | 3.0 | 19.0 | 4.0 | long-beach-va |
| 818 | 892 | 53.0 | 1.0 | 4.0 | 144.0 | 1.0 | 1.0 | 1.0 | 0.0 | 5.0 | 128.0 | 76.0 | 150.0 | 102.0 | 94.0 | 1.0 | 1.5 | 13.0 | 3.0 | long-beach-va |
| 819 | 893 | 62.0 | 1.0 | 4.0 | 158.0 | 1.0 | 0.0 | 1.0 | 0.0 | 8.0 | 138.0 | 86.0 | 202.0 | 98.0 | 90.0 | 1.0 | 0.0 | 22.0 | 1.0 | long-beach-va |
| 820 | 894 | 46.0 | 1.0 | 4.0 | 134.0 | 1.0 | 0.0 | 0.0 | 0.0 | 7.0 | 126.0 | 88.0 | 174.0 | 114.0 | 90.0 | 0.0 | 0.0 | 7.0 | 2.0 | long-beach-va |
| 821 | 895 | 54.0 | 0.0 | 4.0 | 127.0 | 0.0 | 1.0 | 1.0 | 0.0 | 8.0 | 154.0 | 83.0 | 158.0 | 84.0 | 78.0 | 0.0 | 0.0 | 20.0 | 1.0 | long-beach-va |
| 822 | 896 | 62.0 | 1.0 | 1.0 | NaN | 0.0 | 0.0 | 1.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0.0 | long-beach-va |
| 823 | 897 | 55.0 | 1.0 | 4.0 | 122.0 | 1.0 | 1.0 | 1.0 | 0.0 | 5.0 | 100.0 | 74.0 | 210.0 | 100.0 | 70.0 | 0.0 | 0.0 | 4.0 | 2.0 | long-beach-va |
| 824 | 898 | 58.0 | 1.0 | 4.0 | NaN | 0.0 | 1.0 | 2.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0.0 | long-beach-va |
| 825 | 899 | 62.0 | 1.0 | 2.0 | 120.0 | 1.0 | 0.0 | 2.0 | 0.0 | 7.0 | 93.0 | 67.0 | 164.0 | 110.0 | 80.0 | 1.0 | 0.0 | 17.0 | 1.0 | long-beach-va |
| 826 | 900 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | long-beach-va |